What do satisfied versus dissatisfied customers talk about? – Group Comparison Example – Text Analytics Tips by Gosia In this post we are going to discuss one of the first questions most researchers tend to explore using OdinText: what do satisfied versus dissatisfied customers talk about?

How to Increase the Amount of Text Data for Analysis – Text Analytics Tips by Gosia If you find yourself slightly disappointed by the quantity or quality of text comments provided by your respondents you are definitely not alone. This is a common problem especially when survey respondents are not compensated for their answers and when […]

Why most customer experience management surveys aren’t very useful Most of your customers, hopefully, are not unhappy with you. But if you’re relying on traditional customer satisfaction research—or Customer Experience Management (CXM) as it’s come to be known—to track your performance in the eyes of your customers, you’re almost guaranteed not to learn much […]

Get a complete picture of your data: The ‘Top-Down and Bottom-Up Approach’ At OdinText we’ve found that the best way to identify all key drivers in any analysis really, especially in customer experience management (including but not limited to KPI’s such as OSAT, Net Promoter Score, Likelihood to Return or other real behavior) is through a dual […]

Four Big Data and Text Analytics Myths Debunked [Visit Forbes.com for more detailed article] There are a lot of myths out there surrounding next generation research techniques around data from small to big. Text analytics, if done correctly, can offer insights into problems from a new more encompassing and accurate perspective. OdinText CEO, Tom H. […]

When Text Analytics is Your Brand What I learned about personal branding at IIEX Coming back from Insight Innovation Exchange (IIEX) this week in Atlanta and thought I’d blog briefly about the two panel sessions on Personal/Digital Branding in which I participated. Text Analytics My main reason for attending IIEX was actually to give […]

OdinText SaaS Founder Tom H. C. Anderson is on a mission to educate market researchers about text analytics [Interview Reposted from Greenbook] Judging from the growth of interest in text analytics tracked in GRIT each year, those not using text analytics in market research will soon be a minority. But still, is text analytics for everyone? […]

[Interview Reposted with Permission From Jeffrey Henning’s ResearhAccess] I recently had the opportunity to interview Tom H. C. Anderson, the founder of Anderson Analytics, about his ongoing application of text analytics to market research. Q: What’s the process for optimally using text analytics with survey verbatim responses? A: Well, that patented process is something that we’ve obviously […]

Recent Comments

Kevin I wonder how the results might have been different if respondents knew that government employees are unionized at a rate 5 times higher than private... – Sep 05, 1:31 PM

Scott Upham Several main themes can be derived from this analysis - 40% are generally positive perhaps by association with people they know - factory workers, teachers,... – Sep 03, 8:09 PM

Scott Shemwell the “W” word is important. The statement, “shrank by half when respondents were asked to provide a reason for their opinion,” is key. Seems like... – Aug 28, 3:21 PM

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Text Analytics involves applying advanced statistics and other machine learning techniques to text data in order to find patterns and discover important relationships, which leads to valuable insights.
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